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matlab 2013a starter guide

利用matlab软件对牛顿环的干涉条纹的仿真，里面有每个语句的含义，可以使用初学者。(Newton ring using matlab software simulation of the interference fringes)

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

说明：  基于Matlab的完整的OFDM通信系统的仿真设计，内容主要包括编码，IFFT，调制，上下变频，高斯信道建模，FFT，PAPR抑制，同步，解调和解码等模块，并仿真验证了通信系统的可靠性。(The simulation design of the complete OFDM communication system based on Matlab mainly includes coding, IFFT, modulation, up-conversion, Gaussian channel modeling, FFT, PAPR suppression, synchronization, demodulation and decoding, and the simulation of the communication system. reliability.)

buck converter writing in matlab/simulink

这是我编写的基于Matlab的QPSK调制解调的仿真程序，希望对大家有所帮助(This is what I prepared in Matlab based on the QPSK modulation and demodulation of the simulation program, and they hope to help everyone)

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)

integer-n pll linear matlab model

动作识别--姿势估计--c++和matlab--经过测试--能够运行(action recognition)

dsine used for sine filtering in dsp